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The article presents the method of heterogeneous information available on Internet portal structuring and systematizing. In this paper we would like to present methodology for ontology-based development of knowledge Internet portals providing the content-based access to knowledge and information resources as well as to discuss an experience of exploitation of this methodology, problems that arise...
It is important for data scientists to have a good understanding of the availability of relevant datasets as well as the content, structure, and existing analyses of these datasets. While a number of efforts are underway to integrate the large amount and variety of datasets, there is a lack of information resources that focus on specific learning needs of some targeted audiences. To address this gap,...
Emotions influence our perceptions and decisions and are often felt more strongly in situations related to healthcare. Therefore, it is important to understand how both providers and patients express their emotions in face-to-face scenarios. An ontology is a way to represent domain concepts and the relationships between them in a polyarchical manner. We have created an ontological model called the...
External knowledge sources are commonly used in processing large amounts of data. Large external knowledge sources, such as ontologies, often contain hundreds of thousands of concepts and relationships, making comprehension and navigation difficult. Abstraction networks enhance the usability and comprehensibility of these resources by providing a higher level of abstraction. In this paper, we develop...
The paper considers the problem of feature selection in learning using privileged information (LUPI), where some of the features (referred to as privileged ones) are only available for training, while being absent for test data. In the latest implementation of LUPI, these privileged features are approximated using regressions constructed on standard data features, but this approach could lead to polluting...
In this work, we generalise the categorical syllogistic logic in several dimensions to a relatively expressive logic that is sufficiently powerful to encompass a wider range of linguistic semantics. The generalisation is necessary in order to eliminate the existential ambiguity of the quantifiers and to increase expressiveness, practicality, and adaptivity of the syllogisms. The extended semantics...
Knowledge about system life cycle processes constitutes one of the most valuable assets for systems engineering practitioners. While effective management of processes is imperative, it is an onerous task as knowledge is tacit and implicit. Although best practice to ensure the quality of such processes has been documented in the International Standard ISO/IEC/IEEE 15288, it is limited to human-readable...
In article is considered the approach to use of original elements of conceptual graphs notations at the complex description of declarative and procedural components of the control expert systems (ES) within the general problems of design automation of the chosen ES class.
Industry is continuously moving towards the employment and exploitation of semantic technologies due to diverse enterprise needs, such as cross-domain interoperability, system modeling, categorization of information, model validation and data reasoning. Therefore, the research community presents new semantic-based approaches for implementing industrial systems that are more flexible, self-descriptive,...
We address the problems of the automated temporal knowledge acquisition for development of knowledge bases in dynamic intelligent systems based on the problem-oriented methodology and AT-TECHNOLOGY workbench. We review some features of the temporal version of combined knowledge acquisition method, including the extended knowledge representation language for temporal knowledge representation. We present...
In this paper using BP neural network as core algorithm, Java and MATLAB as development tools, build a fault intelligent analysis system of electric energy data acquire network which have machine self-learning ability. This diagnosis system adopts the model of cloud computing in structure, artificial intelligence calculation in the cloud, friendly humancomputer interaction at the front-end. Lab simulation...
It's necessary to realize the standardization and rationalization of the knowledge representation during the milling process of Aeronautical Structural Parts. Meanwhile, It's also important to make it convenient for sharing knowledge and improve the efficiency of processing reasoning considering the intermediate status of knowledge processing. XML language is used to carry on the parametric representation...
Semantic web technologies have gained some spot-light in recent years, mostly explained by the spread of mobile devices and broadband Internet access. As once envisioned by Tim Berners-Lee, semantic web technologies have fostered the development of standards that enable, in turn, the emergence of semantic search engines that give users the information they are looking for. This paper presents the...
Air Traffic Management (ATM) is getting challenging mainly due to the massive information processed from increasingly sophisticated avionics systems, unprecedentedly crowded airspaces, and ever-changing weather conditions affecting grounded or flying aircraft. The complex situation overwhelms pilots and ATM controllers who work to keep aviation dependable. To provide artificial decision-making support...
With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation...
Identifying students' eligibility for a specific job is crucial even before commencement of the Job? Placement process. In this study, a tailored method has been proposed to generate a personalized job competency profile. First, the domain competencies are identified for a specific job. Secondly, the job competency score is calculated based on students' past performances, pertinent to the relevant...
Threat intelligence is the provision of evidence-based knowledge about existing or potential threats. Benefits of threat intelligence include improved efficiency and effectiveness in security operations in terms of detective and preventive capabilities. Successful threat intelligence within the cyber domain demands a knowledge base of threat information and an expressive way to represent this knowledge...
Semantic lexicons are widely used resources in the implementation of solutions for a number of Natural Language Processing tasks. However, availability of these lexicons is limited for most languages other than English, including Romanian. The aim of this paper is to bridge this gap by processing and improving a translated lexicon of Romanian words tagged with Plutchik's eight emotions and polarity...
This paper describes a knowledge model for the design of Massive Open Online Course (MOOC) platforms. It is based on our generic instructional engineering method called Knowledge Field of Educational Environment with Competence Boundary Conditions (KFEEC). KFEEC uses the ontology as a foundation for the knowledge representation model. It provides a flexible structure to the various self-paced e-learning...
This paper proposes an approach for addressing Resource Description Framework (RDF) knowledge representation limitations using an emergent graph model. The metagraph model is proposed to solve this problem. The formal definition of the metagraph model is given. Metagraph and hypergraph models are compared and it is shown that the hypergraph model does not implement the emergence principle. Textual...
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